Machine Learning

Over the last decade, there has been a significant shift from traditional mechanistic and empirical modelling into statistical and data-driven mode...

This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computationa...

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. Thi...

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC)  without assuming advanced knowledge of mathematics and programming. MCM...

Machine Learning (ML) has become a very important area of research widely used in various industries.This compendium introduces the basic concepts,...

Researchers are working together to build intelligent systems that exploit a variety of real datasets using ML techniques to address problems and c...

Researchers are working together to build intelligent systems that exploit a variety of real datasets using ML techniques to address problems and c...

The next generation of AI is hereuse it to lead your business forward.If you read nothing else on artificial intelligence and machine learning, rea...

Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and a...

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill s...

Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available....

All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence ...

Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Fed...

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector c...

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector c...